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AI for Quiet Luxury Styling

When Subtle Becomes Status

Quiet luxury isn’t new. But in 2025, it’s louder than ever—without raising its voice.

You’ve seen it. That whisper of elegance in a perfectly cut wool coat. The unbranded leather bag that somehow looks more powerful than a logo ever could. The confidence of someone who wears simplicity like armor. This is quiet luxury—and it’s shaping the fashion future.

But here’s the twist: it’s not just stylists or insiders who are owning the look. AI is unlocking quiet luxury for the rest of us—making refined, minimalist style accessible, intelligent, and deeply personal.

In this blog, we’ll unpack what quiet luxury really means (beyond the trend cycle), why it aligns so strongly with Gen Y and Z values, and how Glance AI—powered by AI Twin technology—is making quiet luxury styling easy, effortless, and ultra-individual.

You’ll get actionable fashion and style tips, real examples of AI-powered refinement, and a look at how tech is elevating taste without shouting.

Here’s Section 2 of the blog:

What Is Quiet Luxury? (And Why Is It Winning in 2025)

Quiet luxury isn’t about being rich. It’s about being refined.

At its core, quiet luxury is the art of looking expensive—without trying to prove it. It favors craftsmanship over clout, silhouette over shoutiness. Think Loro Piana over logo mania. Understated palettes. Impeccable tailoring. Natural fibers. Elevated basics that whisper taste instead of screaming trend.

But quiet luxury is more than an aesthetic. In 2025, it’s become a cultural shift.

Why the World Is Craving Less—But Better

Post-hype exhaustion: After years of loud fashion, people are opting out of the noise.

Sustainability goals: Quiet luxury encourages timeless purchases—think longevity over landfill.

Emotional alignment: In a chaotic world, simplicity feels calming. Understated fashion becomes armor.

Authenticity > Status: People want to look put-together for themselves, not for algorithms.

A recent study by McKinsey found that 71% of Gen Z consumers prefer brands with subtle or no visible logos—a stark contrast to early 2010s trend cycles1.

But Pulling Off Quiet Luxury Isn’t Always Easy

The aesthetic demands:

Perfect fits

Quality fabrics

Clean color coordination

Subtle accessories

Zero reliance on visual branding

And without a stylist or years of fashion experience, this can be overwhelming.

Enter: Glance AI.

Through its intelligent, personalized AI Twin system, Glance helps you build a wardrobe that radiates confidence, not chaos—while staying aligned with quiet luxury principles.

Footnotes : McKinsey & Company - The State of Fashion 2024 ↩

How Glance AI Helps You Style Quiet Luxury Intelligently

Quiet luxury isn’t about copying celebrity closets. It’s about curating your own version of understated excellence—and that’s where Glance AI becomes a game-changer.

With Glance’s AI Twin technology, you’re not dressing for a trend. You’re dressing for who you are—and where you’re going.

1. Your AI Twin: Personalized Elegance, No Guesswork

When you onboard with Glance AI, it creates your AI Twin—a dynamic, intelligent profile built from your face, body proportions, and aesthetic preferences. This isn’t a cartoon avatar or basic template. It’s a continuously learning, decision-making entity that styles you like a high-end fashion consultant.

So instead of Googling “quiet luxury outfit ideas,” you see them applied to you—instantly, accurately, and intentionally.

2. AI-Powered Wardrobe Curation

Using its Fashion Intelligence Model, Glance understands what quiet luxury means visually and structurally. It suggests items with:

Clean cuts and natural tailoring

Muted, tonal colorways

High-quality fabrics like wool, silk, linen, and cashmere

Minimal embellishments or branding

This engine draws from decades of fashion data—adapting it in real-time based on how you interact, swipe, or save looks.

3. Styling Logic, Not Hype

Quiet luxury is about knowing what not to wear. Glance’s Generative Styling Engine ensures your looks don’t veer into “boring basics” or “over-accessorized maximalism.” Instead, it delivers:

Balanced silhouettes (e.g., boxy outerwear with slim trousers)

Elevated monotones (e.g., sand-on-sand or navy-on-slate)

Confidence-anchored details like structured collars or subtle gold hardware

4. Live Product Sync + Real-Time Fit

The Consumer Shopping Intelligence layer connects each look to live product availability. So when your AI Twin shows you a minimalist wool overcoat or perfectly pleated trousers, they’re not fantasy—they’re in-stock, size-compatible options tailored to your region, budget, and brand preferences.

That’s quiet luxury, powered by quiet intelligence.

Fashion and Style Tips for Mastering the Quiet Luxury Aesthetic

You don’t need to spend lakhs to look like you belong in a Neutra-designed villa sipping espresso in head-to-toe cashmere. You just need to understand how quiet luxury works—and how to apply it through intentional styling choices.

Here are AI-backed fashion and style tips (powered by Glance) to help you embody the aesthetic effortlessly.

1. Prioritize Silhouette and Fit Over Branding

Quiet luxury is subtle on purpose. A blazer that fits perfectly at the shoulders or trousers with the right rise will do more for your presence than any designer logo ever could.

AI Tip: Glance AI scans your proportions through your AI Twin to recommend precise tailoring—like where your hemline should fall, or which neckline flatters your collarbone best.

2. Build a Capsule Around Neutral Palettes

Think warm beige, taupe, navy, off-white, muted olive, charcoal, and earthy tones. These shades blend seamlessly, allowing for endless outfit combinations without visual overload.

Style Tip: Use Glance’s palette filters to focus on tonal consistency across outfits. It will even show how a full cream-on-ivory look appears on your skin tone.

3. Invest in Texture, Not Flash

If color is subtle, let texture speak. Merino wool, soft leather, crisp cotton, raw silk—these elevate even the simplest shapes.

AI Tip: Glance can prioritize natural fabrics in its product suggestions. You’ll see the aesthetic shift just by switching from synthetics to refined textures.

4. Choose Statement Simplicity in Accessories

One sculptural ring. A clean-line crossbody. A pair of brushed gold hoop earrings. That’s enough. Quiet luxury isn't anti-accessory—it’s just anti-clutter.

Styling Tip: Use Glance’s “Shop Similar” feature to match minimalist accessories that complete your look without diluting it.

5. Go Monochrome—But Vary the Finish

A sand blazer + tan trousers + camel loafers = perfection. Varying fabric sheens keeps your look dimensional while staying within a single color family.

6. Master Outerwear Layering

Outerwear is where quiet luxury shines. Structured coats, belted trenches, and wool wraps are all staples. And they look better when sized to your frame.

Glance Advantage: Your AI Twin will help balance bulk, scale, and seasonal function—recommending the right lapel width or shoulder construction based on your height and shape.

Mastering quiet luxury is less about fashion rules and more about fashion awareness. And AI can make that awareness intuitive, not intimidating.

Why AI + Quiet Luxury Align Perfectly in the Modern Fashion Economy

At first glance, “quiet luxury” and “AI fashion” might sound like opposites.

One is rooted in tradition, craftsmanship, and timeless design. The other in code, algorithms, and machine learning. But in today’s fast-evolving fashion landscape, they’re not just compatible—they’re made for each other.

Here’s why AI is the most powerful partner quiet luxury never knew it needed.

1. Intent Over Impulse

Quiet luxury thrives on intentionality—choosing thoughtfully, investing wisely, and wearing with purpose. AI mirrors that by removing noise from your decision-making.

Instead of hundreds of product options, Glance delivers a curated few—based on your preferences, proportions, and prior styling behaviors. This isn’t decision fatigue. It’s decision focus.

2. Personalization Without the Effort

True luxury isn’t about quantity. It’s about fit, feel, and finesse. And personalization is no longer a concierge experience for the ultra-rich—it’s embedded into platforms like Glance AI.

Your AI Twin doesn’t just suggest clothes—it builds a visual and emotional relationship with how you dress. It evolves with you. Remembers your styling history. Detects your seasonal preferences. And refines its suggestions as you engage more.

That’s modern-day tailoring, minus the measuring tape.

3. Sustainability by Default

Minimalist, long-lasting fashion is inherently more sustainable. And AI strengthens that by helping you build smarter capsules, avoid impulse purchases, and extend the life of your wardrobe through optimized styling.

A 2024 Accenture report found that AI-powered personalization tools reduced product returns by 38% and over-purchasing by 23%1. Fewer mistakes = fewer emissions.

4. Digital Twins, Real-World Confidence

Quiet luxury works best when it feels like you. With Glance’s AI Twin model, you preview entire looks—realistically modeled, proportionally accurate, emotionally resonant. No more “will this suit me?” guesswork. Just quiet confidence.

In a world obsessed with noise, this combination of fashion intelligence + quiet elegance offers the one thing millennials and Gen Z crave most: clarity.

Footnotes

Accenture AI in Retail 2024 Report ↩

Conclusion: The Future of Style Is Quiet, Smart, and Personal

Quiet luxury isn’t just a fashion movement—it’s a mindset. It’s what happens when confidence replaces logos, and intention replaces impulse. But to master it? You need more than taste. You need tools.

Glance AI makes that shift seamless.

With your AI Twin guiding every outfit, every fabric choice, and every layer, you don’t just look elevated—you feel aligned. You spend less time stressing, scrolling, or second-guessing, and more time stepping into quiet, intelligent elegance.

And here’s the kicker: it’s not just about looking expensive. It’s about looking like your best self, every day—effortlessly.

Want to explore more?

Read our full Aesthetic Outfits Guide to dive deeper into minimalist, dark academia, and tonal styling.

Discover refined capsule styling in Minimalist Clothing Style Guide.

See how AI builds seasonal sophistication in Aesthetic Winter Outfits.

Ready to experience quiet luxury, styled by intelligence? Download Glance AI on iOS or Get it on Android and let your AI Twin curate elegance that feels like you.

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AI in E-commerce: Powering Smarter, Faster, and More Personalized Shopping

Remember the last time you shopped online and thought, "How did they know exactly what I was looking for?" That wasn’t just smart marketing—it was AI in E-commerce quietly doing the heavy lifting behind the scenes.

While many shoppers are familiar with product recommendations and chatbots, the true power of AI in E-commerce goes far beyond the basics. Today’s forward-thinking retailers are using artificial intelligence to completely transform how we discover, try, and buy products online.

Whether you're shopping using your camera or voice, or previewing how a sofa will look in your living room before buying it, AI in E-commerce is making the experience feel more seamless, more personalized, and more futuristic than ever before.

[digitalpra]

The way India shops is experiencing a dramatic transformation, thanks to the rapid rise of AI in E-commerce. No longer limited to static product listings and basic filters, today's online shopping is being revolutionized by intelligent systems. In 2025, AI in E-commerce is enabling hyper-personalized journeys, predictive recommendations, and seamless purchase experiences. This shift is not just a Silicon Valley phenomenon—India is emerging as a global leader in this space. With its booming internet penetration and a tech-savvy Gen Z and millennial population, India is shaping the future of AI in E-commerce, making the shopping experience smarter, faster, and more intuitive than ever before. As AI in E-commerce continues to evolve, it is redefining the way Indian consumers discover, engage, and shop online.

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Zero-Click Shopping: How AI Reduces Friction in the Buyer Journey

Imagine a shopping experience where you don’t type, search, or even tap. The right product simply appears—on your screen, on your lock screen, or in your feed—before you realize you need it. No scroll. No funnel. No friction.

Welcome to the era of zero-click commerce, powered by AI.

As e-commerce matures, attention spans shrink and expectations rise. Consumers don’t just want speed; they want anticipation. They expect brands to show up with solutions—not options. And AI is making that shift possible.

At Glance.com, we believe zero-click commerce isn’t a gimmick. It’s the natural evolution of predictive personalization. From AI-generated Looks to lock screen shopping, we’re building a future where discovery feels instant and effortless.

👉 Learn how this frictionless journey connects to our broader ecosystem: Explore the AI in E-Commerce Guide

1. What Is Zero-Click Commerce?

Zero-click commerce refers to shopping experiences where users don’t actively search or browse. Instead, relevant products, services, or solutions are presented proactively—based on intent signals, behavior, and context.

In simple terms, it’s commerce that shows up—without being summoned.

AI enables this by:

Anticipating user needs based on historical and real-time data

Generating curated product content (Looks, bundles, edits)

Serving personalized offers on high-engagement surfaces (lock screens, smart TVs)

Glance’s lock screen shopping is a prime example: Users swipe to see an AI-curated Look styled to their persona, vibe, and region—no app launch needed.

According to Insider Intelligence, 57% of Gen Z shoppers prefer brands that anticipate their needs with minimal input.1

Zero-click commerce is not lazy—it’s intelligent, ambient convenience.

2. The AI Behind Zero-Click Discovery

Zero-click doesn’t mean zero intelligence. Behind every effortless interaction is a complex AI engine that:

Learns what users engage with (scrolls, saves, taps, time)

Maps behavior to intent (late-night browsing = partywear nudge?)

Aligns timing, tone, and product availability

Scores content relevance in real-time

At Glance, our AI engine refreshes lock screen content every few hours, adapting to:

Time of day

Local weather

Upcoming festivals

User engagement patterns

McKinsey reports that AI-powered personalization can boost revenue by 10–30% and increase retention by up to 50% when paired with contextual delivery.

The magic of zero-click is that it feels simple—but it’s anything but.

3. From Funnel to Flow: Redefining the Buyer Journey

Traditional e-commerce follows a linear funnel: Awareness → Consideration → Intent → Purchase.

Zero-click flips this into a loop:

AI predicts need → surfaces solution → triggers engagement → reinforces learning → repeats.

It’s a shift from:

Search → to Signal

Funnel → to Feed

Transaction → to Continuity

At Glance, this looks like:

A wedding Look showing up the week you RSVP

Monsoon-friendly edits during Mumbai’s rainy spells

Festival-ready picks styled with minimal effort

Adobe found that personalized discovery surfaces reduce decision fatigue and increase purchase intent by 23%.

When the journey is seamless, shopping feels like serendipity.

4. Visual Commerce and Content-Led Experiences

Zero-click shopping thrives in visual-first environments.

Instead of text-heavy product listings, users get:

AI-generated Looks based on style, body type, and occasion

Shoppable imagery with minimal overlays

Scroll-stopping lock screen edits

Glance leads with content before conversion:

Editorial-style layouts

Persona-based styling (festive, athleisure, Gen Z streetwear)

Daily refreshes for novelty and engagement

Pinterest reports that visual-first shopping journeys lead to 85% more time spent on content and 40% higher save-to-cart conversions.4

In zero-click commerce, content isn’t an add-on—it’s the core interface.

5. Lock Screens, Smart Surfaces, and Ambient Commerce

Zero-click works best when content lives where users already are.

Glance’s lock screen model turns idle screens into:

AI-powered discovery hubs

Passive-to-active shopping triggers

Scrollable visual storefronts

Add in smart TVs and connected home devices, and you unlock:

Swipe-to-shop Looks during content breaks

Voice-activated browsing ("Show me something for date night")

AR-powered try-ons layered onto the screen

Deloitte predicts that ambient commerce—where discovery happens across everyday interfaces—will drive 15% of all e-commerce revenue by 2026.5

From lock screens to living rooms, zero-click isn’t a channel—it’s an ecosystem.

6. Consent, Control, and Ethical Personalization

Frictionless doesn’t mean forceful.

Ethical zero-click experiences must prioritize:

Transparent onboarding and opt-ins

Easy toggle for personalization settings

No facial recognition without explicit consent

Visible logic (“Why this Look?” overlays)

At Glance, every AI Look is:

Triggered only after profile onboarding

Editable by user (style preference, vibe, frequency)

Designed with inclusive styling in mind

Cisco’s Privacy Benchmark Study shows that 81% of consumers are more likely to engage with brands that explain how AI is used in personalization.6

Frictionless UX only works when paired with frictionless trust.

7. Business Benefits: Conversion, Retention, and Delight

Zero-click isn’t just good for users. It’s great for brands too.

Benefits include:

Higher time-on-screen and content dwell

Lower bounce rates (no dead-ends)

Faster product discovery

Stronger loyalty through anticipation

Glance sees users revisit Looks even without intent—because the visual styling creates an editorial, aspirational loop.

Klarna reports that AI-driven content discovery increases cart size by 30% and reduces time-to-purchase by 22% on average.

Zero-click is a performance engine that’s also a delight engine.

Conclusion: Less Clicks, More Confidence

In a world where attention is scarce and options are endless, users don’t want more choice—they want the right choice, faster.

Zero-click commerce, powered by AI, delivers that. It anticipates. It personalizes. It shows up—not with pressure, but with precision.

At Glance.com, we’re building toward a world where shopping feels ambient, editorial, and deeply personal. No search. No stress. Just swipe, see, and shop.

👉 Want to see how zero-click experiences connect to immersive UX, returns, logistics, and real-time personalization? Explore the AI in E-Commerce Guide

Because the best shopping journey? Is the one you didn’t even know had started.

Footnotes

https://www.insiderintelligence.com/content/gen-z-digital-shopping-behavior ↩

https://www.mckinsey.com/business-functions/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right-or-wrong-is-multiplying ↩

https://business.adobe.com/blog/perspectives/context-driven-commerce ↩

https://business.pinterest.com/content/visual-search-shopping-insights/ ↩

https://www2.deloitte.com/insights/us/en/industry/retail-distribution/retail-trends.html ↩

https://www.cisco.com/c/en/us/about/newsroom/newsroom-presskit/privacy-benchmark-study-2023.html ↩

https://www.klarna.com/global/insights/ai-commerce-performance-report/ ↩

[digitalpra]

How AI is Transforming Retail Store Design and Layout

Introduction: Rethinking the Retail Floor, One Algorithm at a Time

When was the last time you walked into a store that just felt right? The layout made sense. The products you loved were front and center. You didn’t have to search—you discovered.

Chances are, that wasn’t just great design. It was great data.

In 2025, artificial intelligence isn’t only transforming ecommerce—it’s revolutionizing how physical stores are built, stocked, and experienced. From heat-mapping customer behavior to real-time inventory placement and dynamic floor planning, AI retail store design is about creating smarter, more responsive spaces that evolve as fast as consumer needs do.

In this blog, we’ll explore how AI is changing the very architecture of retail—from layout logic and merchandising to immersive experiences and data-driven experimentation. To understand how this fits into the broader retail innovation ecosystem, explore our full guide on AI in retail.

1. Data-Driven Layouts: Turning Movement Into Store Strategy

Gone are the days of relying on instinct or tradition to set up a store. Today, AI analyzes customer footfall, dwell time, and path tracking to map out what works—and what doesn’t.

Using sensors, cameras, and mobile device tracking, AI answers questions like:

Which aisles get the most traffic?

Where do customers pause?

What displays get skipped?

How long do they spend in each section?

AI then generates optimized store layouts by:

Repositioning bestsellers near high-traffic zones

Spacing promotional displays where people linger most

Placing complementary items nearby to boost cross-sell

Retailers like Walmart and Lowe’s are already leveraging this approach. According to McKinsey, AI-enhanced layout optimization can increase in-store conversions by 20–30%).

AI doesn’t guess—it observes, learns, and adjusts in real time.

2. AI-Optimized Merchandising: Smarter Than Shelf Talkers

In-store merchandising isn’t just art—it’s now part science.

Machine learning helps retailers determine:

Which items to highlight at eye level

What signage or digital screens to place near which products

Which bundle combinations resonate most with local shopper profiles

AI tools like Focal Systems or Shelf Engine use computer vision and sales data to manage real-time planogram compliance, restock alerts, and hyperlocal display rules.

This means:

Less out-of-stock frustration

Better visual flow

Higher product discovery rates

And when insights from platforms like Glance AI are integrated—where shoppers signal interest in colors, styles, or product categories before even entering the store—AI can merchandise the store based on future intent, not just past sales.

It’s not just about looking good. It’s about performing better.

3. Micro-Layout Customization: Location-Specific Store Designs

AI doesn’t believe in one-size-fits-all.

What works in Mumbai’s financial district may fail in suburban Pune. That’s why the future of store design is micro-customized per location, with AI guiding:

Product selection and zoning

Store flow and width adjustments

Language, color, and cultural merchandising nuances

Retailers like Decathlon and IKEA are using AI to build local personas and adjust layouts accordingly. AI also helps determine which tech features to include—from smart mirrors to touchscreen catalogs—based on regional shopper behavior.

With Glance, this intent data starts early. A user who regularly saves ethnicwear looks in Hyderabad? The AI can signal a higher preference for ethnic-first displays in that region’s stores.

When physical retail mirrors local digital interest, sales follow.

4. Heatmapping Meets Emotion: Designing for Feeling, Not Just Flow

Heatmaps are a great start—but the next wave of AI-driven design taps into emotional analytics.

Using facial recognition, gait analysis, and even sentiment in voice commands (in smart stores), AI can detect:

Where customers feel overwhelmed

What areas inspire excitement or frustration

How ambiance (lighting, music, smell) affects time spent

Retailers then use this data to:

Adjust lighting and layout dynamically

Introduce calming zones in high-churn departments

Redesign checkout areas for smoother flow and mood management

A Deloitte study found that emotionally resonant retail environments increase customer spend by up to 40%.

As Glance continues to personalize content based on mood and engagement, these cues can evolve into store design signals that resonate emotionally, not just commercially.

5. AI-Powered Store Planning and Simulation

Before any shelf is installed, AI is now helping design stores virtually, using:

Digital twins

3D simulations

Shopper journey modeling

Retailers can test:

Multiple layout options

Fixture placements

Walkthrough times and bottlenecks

Emergency exit flow and accessibility

This helps reduce:

Costly layout mistakes

Wasted renovation budgets

Training time for new staff

Tools like Autodesk’s Spacemaker or Unity Reflect combine architectural software with AI pathfinding to test store performance in virtual environments before rollout.

These simulations will soon be fed by Glance-style interaction data—bringing AI intent signals from lock screens into real-world floor plans.

It’s not just theory—it’s measurable performance before launch.

6. Adaptive Store Designs: Responsive Spaces in Real Time

AI-powered stores are getting smarter by the hour. Some leading-edge trends include:

Modular shelving that moves based on demand

Interactive displays that shift based on crowd density

Lighting and temperature adjustments based on foot traffic

Pop-up brands and retail-as-a-service startups like Showfields are already experimenting with these adaptive layouts.

Even established brands are exploring “store sections that reconfigure overnight,” driven by predictive analytics and IoT infrastructure.

In the future, expect Glance-like personalization signals to trigger real-time store changes. If fashion discovery data shows a spike in festive looks, AI could reconfigure a store window within 24 hours to showcase partywear.

Retail space becomes as fluid as the customer journey itself.

7. Enhancing Omnichannel Synergy With AI-Connected Design

Retail stores no longer stand alone—they’re part of a unified ecosystem.

AI helps align physical layouts with online behavior by:

Displaying most-viewed products from the website in-store

Syncing QR code or NFC stations to digital experiences

Recommending fulfillment flows (BOPIS, curbside pickup) based on layout constraints

When users interact with Glance AI lookbooks, those same items could appear in geo-matched stores—bridging mobile discovery with physical exploration.

This synergy allows:

Faster path to purchase

Seamless cart-to-closet journey

Brand consistency across all channels

In this world, the store doesn’t just sell. It responds, reflects, and reinforces digital intent.

8. AI for Sustainability and Operational Efficiency

Sustainable retail design is the future—and AI is a key enabler.

By using data to optimize:

Lighting schedules

Air conditioning zones

Stock movement and backroom layouts

Retailers can cut:

Utility bills by up to 30%

Wasted floor space by 20–25%

Unnecessary inventory duplication across locations

Companies like H&M and Uniqlo are investing in AI-powered environmental controls, resulting in greener footprints and lower costs.

Glance contributes here too—by predicting product demand accurately, it reduces overstock and saves space and energy that unused stock would occupy.

Smarter design isn't just better for the shopper—it's better for the planet.

Conclusion: The Store of the Future Is Designed by Data

AI is not replacing architects or store designers. It’s giving them a superpower.

From layout and lighting to merchandising and emotion, AI retail store design is about creating spaces that listen, learn, and adapt—spaces that feel human, but run on machine intelligence.

At Glance.com, our mission is to bring personalization, discovery, and emotional connection to every retail moment—starting on your lock screen, and flowing seamlessly into the store.

To explore how this design intelligence connects to customer service, AR, loyalty, and retail performance, read our full overview on AI in retail.

Because the best-designed stores in 2025 won’t just be beautiful.

They’ll be brilliant.

[digitalpra]

What Makes Android TV Unique? Key Differences from Google TV

In the growing sea of smart TVs, two familiar names dominate India’s living rooms—Android TV and Google TV. Both wear the Google badge. Both promise endless entertainment. But here’s a truth that surprises many: Android TV isn’t just the older sibling—it’s a distinct experience that still holds its own in 2025.

While Google TV has made waves with its curated, AI-powered UI, Android TV quietly continues to serve millions of users who want a more customizable, responsive, and no-frills smart experience.

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The Role of AI in E-Commerce: A Deep Dive

Let’s be real—shopping isn’t what it used to be. It’s faster, smarter, and more intuitive than ever. And behind that transformation? AI. From hyper-personalized recommendations to same-day deliveries and visual discovery tools, AI in e-commerce has become the invisible engine powering today’s online retail revolution.

This isn’t just about algorithms. It’s about empathy at scale. It’s about knowing your customer, predicting their needs, and removing friction from their buying journey before they even realize it. In India, where consumer behavior is incredibly diverse, the need for AI-driven precision is even more urgent.

In this blog, we’ll dive deep into how AI is reshaping e-commerce—from backend logistics to front-end shopping experiences. We’ll also spotlight Glance’s AI-first approach to fashion and lifestyle discovery, showing how ambient, visual commerce is redefining how India shops.

👉 For a full landscape overview, explore our Pillar Page on AI in E-commerce

1. AI Personalization: The Soul of Smarter Shopping

Every shopper is different. One may binge scroll at midnight, another may impulse-buy during a lunch break. AI makes it possible to meet both users where they are—with product suggestions tailored to their moment, mindset, and intent.

At Glance, personalization goes beyond user history. When someone uploads a selfie in the AI Looks experience, they aren’t just shown outfits—they’re shown versions of themselves in those styles. The platform understands personas, body types, seasonal relevance, and even regional fashion trends. It’s personalization, not as a feature, but as the default experience.

This kind of personalization increases engagement, average order value, and most importantly—user trust. Because when an app feels like it "gets you," you come back. Not just to browse, but to belong.

And it’s not just fashion—platforms across verticals are adopting AI-led personalization for everything from grocery baskets to content recommendations, using dynamic data layers like location, device usage, and emotional cues.

2. AI in E-Commerce Logistics: The Engine Behind the Magic

You placed an order. It shipped the same day. It arrived early. How? AI.

Modern logistics networks rely heavily on predictive algorithms and real-time data to function. AI helps brands forecast demand, allocate inventory across regional hubs, and dynamically route delivery vans based on traffic, weather, and priority.

In India, where urban chaos meets rural sprawl, these efficiencies aren’t optional. They’re existential. AI route optimization tools (like those used by Delhivery and Flipkart) reduce last-mile costs and failed deliveries. Predictive warehousing ensures stock sits closer to the buyer, shrinking delivery times.

Even returns—a bane for most retailers—are now being handled by AI models that detect likely return candidates, automate reverse logistics, and refurbish resale-worthy items.

AI makes logistics not just faster—but smarter. And in a country where logistical diversity is the norm, that intelligence makes all the difference.

3. Visual Discovery: Shopping with the Eyes, Not Just the Cart

Traditional search is dying. In its place? Visual discovery.

You don’t need to know the name of what you want—you just need to see it. AI-powered discovery tools now use images, context, and personalization to suggest what you didn’t know you were looking for.

Glance AI Looks embodies this shift. With a selfie and a swipe, users are shown curated fashion ensembles, not endless grids. They don’t hunt. They discover. The content refreshes every 15 seconds if left idle—driven by real-time AI personalization. It’s shopping reimagined as inspiration.

Platforms like Pinterest, Amazon, and Instagram are also leaning into this space. Visual AI tags products in images, identifies color patterns, and predicts lookalike items based on uploaded photos or mood boards.

In a visual-first market like India, where aesthetic storytelling often trumps specs, this mode of commerce feels native. It’s not just smart—it’s sensory.

4. Conversational AI: Support that Speaks Your Language

We’ve all yelled at a chatbot. AI is fixing that too.

Conversational AI, powered by natural language processing (NLP), is transforming how brands provide support and sell at the same time. These bots don’t just respond—they understand. Tone, urgency, language preferences, even sarcasm.

For Indian users, this is game-changing. Multilingual bots can now converse in Hindi, Tamil, Bengali, or Hinglish, providing empathetic support across geographies. Glance integrates support experiences that don’t interrupt—conversations flow from lock screen to checkout without losing context.

These systems can handle FAQs, escalate critical issues, process refunds, and even recommend products mid-chat. And as sentiment analysis improves, they’ll respond with increasing emotional intelligence.

In a landscape where customer support often means long wait times and rigid scripts, AI offers a responsive, scalable, and deeply human-feeling alternative.

5. AI Shopping Assistants: From Browsing to Buying in Seconds

Think Siri, but for shopping. That’s the future—and it’s already here.

AI shopping assistants use voice and visual inputs to help users find, evaluate, and purchase products instantly. Instead of typing, users ask. Instead of scrolling, they see.

This tech thrives in ambient surfaces—like Glance TV or mobile lock screens—where passive moments turn into active discovery. Imagine asking your screen: “Show me monsoon jackets under ₹1,500” and receiving a swipeable list tailored to your style and location.

Glance is embedding this capability into its next-gen interfaces. As voice adoption grows in India, particularly in rural and semi-urban regions, shopping assistants will become the de facto entry point into e-commerce.

It’s not about replacing search—it’s about skipping it entirely.

6. AI and the New Consumer Journey

The classic funnel is dead. Modern shoppers don’t go from awareness to purchase in a straight line—they bounce, blend, and loop. AI is the only way to make sense of this chaos.

It helps brands identify micro-moments: that late-night scroll, the price-drop notification, the wishlist revisit. Each is a signal. AI reads these signals and orchestrates next steps—an email nudge, a push notification, a lock screen reminder.

With tools like Glance TV and Glance AI Looks, these micro-moments are baked into the surface. The shopping journey starts before the app opens and often ends without an app at all. This kind of ambient, AI-powered journey makes e-commerce feel less transactional and more intuitive.

You’re not forcing the sale. You’re meeting the moment.

7. Responsible AI: The Ethics of Personalization

With great personalization comes great responsibility.

AI systems trained on biased or narrow data can reinforce stereotypes. Over-targeting can feel intrusive. Dark patterns—like urgency triggers or manipulative pricing—erode trust.

That’s why ethical AI is now a competitive advantage. Platforms must audit models for bias, offer transparency in how recommendations are made, and empower users with opt-outs and data controls.

Glance leads with consent-first design. Its onboarding journeys clearly explain data usage, persona customization, and look generation logic. Users know why they’re seeing what they’re seeing—and can modify it.

In India’s privacy-aware digital market, building trust isn’t just legal hygiene. It’s brand strategy.

Conclusion: AI in E-Commerce Isn’t the Future—It’s the Framework

AI isn’t a layer on top of e-commerce. It is e-commerce. From how we discover products to how we return them, every step of the journey is becoming faster, smarter, and more personal.

For India’s billion+ shoppers, AI offers more than convenience. It offers relevance, empowerment, and inclusion. Whether it’s multilingual chatbots, ambient discovery, or emotion-aware styling, AI is making e-commerce human again.

Glance.com is proud to lead this shift—building AI-powered shopping experiences that don’t just mimic behavior, but understand it.

👉 To explore the full AI shopping ecosystem, read our pillar page on AI in E-Commerce

Because when AI meets commerce, everyone shops smarter.

[digitalpra]

https://glance.com/blogs/glanceai/ai-shopping/ai-designed-clothes-ai-fashion-commerce-style

AI Fashion Design Is Taking Over: Are You Ready to Dress Smart?

Imagine opening your phone and seeing a complete outfit suggestion based on your taste, the weather, and even your mood—instantly. This isn’t a far-off fashion fantasy. It’s the reality of AI-powered fashion today.

[digitalpra]

Customizing Your Android TV for a More Personal Viewing Experience

Learn how to personalize your Android TV settings and interface for a tailored viewing experience. Discover essential customization tips, from home screen organization to Glance TV idle screen personalization.

In today's digital age, personalization is key to enhancing any technology experience. Android TV, with its flexible interface and wide range of customization options, offers viewers numerous ways to tailor their viewing experience to match their preferences and habits. Whether you're a movie buff, sports enthusiast, or casual viewer, customizing your Android TV interface can transform how you interact with your entertainment system.

Why Customize Your Android TV?

A personalized Android TV experience offers several benefits:

Quicker access to your favorite content and apps

Reduced time spent searching for what to watch

Visual appeal that matches your aesthetic preferences

Improved content discovery aligned with your interests

Enhanced user experience for everyone in your household

Let's explore how you can transform your Android TV into a personalized entertainment hub that truly reflects your preferences.

Essential Android TV Interface Customizations

Rearranging Your Home Screen

The home screen is your gateway to the Android TV experience, making it the perfect place to start your customization journey.

To rearrange apps on your home screen:

Navigate to the app you want to move

Long-press the Select button on your remote

Choose "Move" from the menu that appears

Use the directional buttons to position the app

Press Select to confirm the new location

Prioritize your most-used apps by placing them in the first row for quick access. This simple organization can significantly streamline your viewing experience.

Creating Custom Rows

Android TV allows you to create custom rows of content, grouping similar apps or content types together:

Scroll to the bottom of your home screen

Select "Add row" or "Customize channels"

Choose the content category you want to add

Arrange your new row in your preferred position

Custom rows might include "Kids Content," "Sports Apps," or "Music Services," making navigation intuitive for different viewing scenarios or family members.

Personalizing Android TV Settings for Optimal Viewing

Display and Picture Settings

Your Android TV's visual output can be fine-tuned to match your preferences and viewing environment:

Go to Settings > Device Preferences > Display

Adjust brightness, contrast, and color settings

Select picture modes (Cinema, Sports, Game, etc.)

Configure HDR settings if your TV supports it

Consider creating different picture profiles for various viewing scenarios: brighter settings for daytime viewing and warmer, dimmer settings for evening movie sessions.

Sound Customization

Audio personalization is equally important for a truly immersive experience:

Navigate to Settings > Device Preferences > Sound

Select your preferred audio output device

Choose sound modes (Standard, Cinema, Music, etc.)

Adjust equalizer settings to match your space and preferences

For homes with smart speakers, consider configuring your Android TV to work with your existing audio ecosystem for a consistent sound experience throughout your living space.

Advanced Android TV Personalization Techniques

Installing Custom Launchers

For those seeking deeper personalization, third-party launchers offer extensive customization options:

Install a custom launcher from the Google Play Store

Set it as your default home screen

Explore unique layouts, animations, and organization systems

Popular launchers like ATV Launcher and HALauncher provide greater control over the look and feel of your Android TV interface, including custom backgrounds, widget support, and unique navigation systems.

Creating User Profiles

For households with multiple viewers, setting up user profiles ensures everyone gets a personalized experience:

Go to Settings > Accounts & Sign In

Select "Add account"

Follow the prompts to create a new user profile

Customize recommendations and apps for each user

With individual profiles, each household member receives content suggestions tailored to their viewing history and preferences, eliminating algorithm confusion from mixed viewing habits.

Enhancing Content Discovery

Customizing the Watch Next Row

The Watch Next row can be your personal assistant for content continuation:

Go to Settings > Device Preferences > Home Screen

Select "Customize channels"

Ensure "Watch Next" is enabled and positioned prominently

This feature tracks shows you're currently watching across services, making it easier to pick up where you left off without searching through individual apps.

Fine-tuning Recommendations

Android TV's recommendation system becomes more valuable when properly configured:

Navigate to Settings > Device Preferences > Home Screen > Content Preferences

Select the types of content you want to see recommendations for

Rate content you've watched to improve future suggestions

Regularly providing feedback by rating content helps the algorithm better understand your preferences, resulting in more relevant recommendations over time.

Transform Your Idle Screen with Glance TV

While the active interface customizations enhance your viewing experience, what about when your TV is idle? This is where Glance TV comes in as a revolutionary idle screen personalization option.

Glance TV transforms your dormant screen into a dynamic content discovery platform, displaying:

Personalized content recommendations based on your interests

Beautiful visuals and information when you're not actively watching

Quick access to trending content across platforms

Interactive elements that enhance engagement even before you start watching

By implementing Glance TV, you extend personalization to every moment of your TV experience—even when you're just deciding what to watch. This innovative solution represents the next evolution in Android TV personalization, covering the often-overlooked idle state of your television.

Privacy Considerations When Personalizing Your Android TV

As you customize your Android TV experience, keep these privacy best practices in mind:

Review app permissions regularly

Consider which data you're comfortable sharing for improved recommendations

Adjust voice search settings to match your privacy preferences

Enable or disable usage statistics according to your comfort level

Finding the right balance between personalization and privacy ensures you get relevant recommendations without compromising your data security.

Troubleshooting Common Customization Issues

Even the most straightforward customization attempts can sometimes hit roadblocks:

Apps disappearing from home screen: Check if they've been accidentally moved to a different row or disabled

Settings not saving: Ensure your system is updated to the latest version

Custom launcher issues: Try clearing the launcher's cache and data

Slow interface after customization: Consider reducing animations or visual effects

Most customization problems can be resolved with a simple restart or cache clearing, allowing you to continue personalizing without frustration.

Conclusion

Customizing your Android TV interface transforms a standard viewing experience into something uniquely yours. From basic home screen organization to advanced launcher customization and innovative idle screen solutions like Glance TV, the possibilities for personalization are extensive.

By taking the time to configure your Android TV settings and organize your content in meaningful ways, you create an entertainment ecosystem that understands your preferences and serves them back to you efficiently. In a world of overwhelming content choices, a well-personalized Android TV becomes your curated gateway to entertainment that matters to you.

Start small with a few basic customizations, then gradually explore more advanced options as you become comfortable with your system. Your perfect Android TV experience is just a few settings adjustments away.

[digitalpra]

What is Android TV? A Complete Guide to Google's Smart TV OS

In today's digital age, televisions have evolved beyond traditional broadcasting. Enter Android TV—a smart TV platform developed by Google that brings the power of the Android operating system to your living room.

This guide delves into what is Android TV, its standout features, and benefits, how it compares to other platforms, and how innovations like Glance TV are redefining the idle screen experience.

[digitalpra]

Prompt Engineering 101: Getting Better Results from AI Tools

Master prompt engineering basics with our comprehensive guide. Learn practical techniques to get better results with AI through effective prompting strategies.

In today's AI-powered world, the difference between mediocre and exceptional results often comes down to how you communicate with artificial intelligence. Welcome to the art and science of prompt engineering—a skill that's quickly becoming essential for anyone looking to leverage AI tools effectively. Whether you're using generative AI for writing, image creation, or data analysis, mastering prompt engineering basics can dramatically improve your outcomes.

What is Prompt Engineering?

Prompt engineering is the practice of crafting inputs (prompts) for AI systems to elicit the most useful, accurate, and relevant outputs. Think of it as learning to speak the language of AI—knowing which instructions, context, and constraints will help the system understand exactly what you're looking for.

Unlike traditional programming, where you write explicit code to achieve specific results, prompt engineering involves guiding AI through natural language. It's less technical but requires creativity, precision, and an understanding of how AI models interpret and respond to different types of inputs.

Why Prompt Engineering Matters?

Even the most advanced AI tools are only as good as the prompts they receive. Here's why mastering this skill matters:

Efficiency: Get the results you want faster, with fewer iterations

Quality: Produce higher-quality outputs tailored to your specific needs

Consistency: Generate more reliable and predictable results

Creativity: Unlock the full creative potential of AI tools

Cost-effectiveness: Reduce token usage and processing time with precise prompts

Core Principles of Effective Prompt Engineering

1. Be Clear and Specific

Vague prompts lead to vague results. The more specific your instructions, the better the AI can meet your expectations.

Basic Prompt: "Write about climate change."

Improved Prompt: "Write a 300-word explanation of how rising sea levels from climate change are affecting coastal communities in Southeast Asia, including two specific examples and potential adaptation strategies."

The improved version provides clear parameters (length, focus, structure) that guide the AI toward a much more useful response.

2. Provide Context and Background

AI models lack real-world experience and the background knowledge we take for granted. Providing relevant context helps them generate more informed outputs.

Basic Prompt: "Give me ideas for my presentation."

Improved Prompt: "I'm preparing a 10-minute presentation for healthcare professionals about recent advances in telemedicine. My audience has basic technical knowledge but varies in their familiarity with digital health platforms. Suggest 5 key points I should cover and how to make them engaging."

This context gives the AI crucial information about audience, purpose, and constraints.

3. Use Structured Formatting

Breaking down complex requests into structured components makes them easier for AI to process accurately.

Basic Prompt: "Help me write a customer email."

Improved Prompt:

Write a customer email following these guidelines:

- Purpose: Apologize for a shipping delay and offer compensation

- Tone: Professional but empathetic

- Length: 150-200 words

- Include: Specific explanation for delay, new delivery date, discount code details

- Call-to-action: Ask customer to confirm receipt of email

This structured approach ensures all requirements are addressed in the response.

4. Leverage Role and Format Prompting

Assigning a role to the AI or specifying a format can dramatically change the quality and style of outputs.

Basic Prompt: "Tell me about quantum computing."

Improved Prompt: "As a university professor teaching an introductory course on computer science, explain quantum computing to first-year students who have basic knowledge of classical computing. Format your response as a lecture with an attention-grabbing introduction, 3 main concepts, illustrative analogies, and a conclusion that emphasizes why this field matters."

This technique guides not just the content but also how it's presented.

5. Iterate and Refine

Prompt engineering is rarely a one-attempt process. The most effective approach involves treating it as an iterative dialogue.

Start with a base prompt

Evaluate the response

Adjust your prompt based on what worked and what didn't

Try again with the refined prompt

Repeat until you achieve your desired result

Keep a record of particularly effective prompts for future reference.

Advanced Prompt Engineering Techniques

Chain-of-Thought Prompting

This technique encourages AI to break down complex problems into logical steps.

Example: "Solve this math word problem step by step, showing your reasoning at each stage: A train travels at 60 mph for 2 hours, then increases its speed to 80 mph for the next 1.5 hours. What is the total distance traveled?"

By explicitly requesting step-by-step reasoning, you typically get more accurate results for problems requiring multi-stage thinking.

Few-Shot Learning

Provide examples of the pattern you want the AI to follow.

Example:

Translate these sentences from English to French:

English: The cat is on the table.

French: Le chat est sur la table.

English: I would like to order dinner.

French: J'aimerais commander le dîner.

This technique is particularly effective when you need outputs in a very specific format or style.

Negative Prompting

Specify what you don't want to see in the response.

Example: "Write a creative short story about time travel. Do not include typical clichés like meeting historical figures or paradoxes where someone meets their younger self. Avoid predictable endings where everything returns to normal."

Negative prompting helps steer AI away from common or unwanted patterns.

Common Prompt Engineering Mistakes to Avoid

Being Too Vague

Vague prompts force the AI to make assumptions about what you want, often leading to disappointing results.

Overloading With Information

While context is important, overwhelming the AI with irrelevant details can confuse the model and dilute the focus of the response.

Asking for Multiple Unrelated Things

Keeping prompts focused on one main task or closely related tasks yields better results than requesting multiple unrelated outputs in a single prompt.

Neglecting to Specify Format

Without format guidance, AI may deliver content that's accurate but not structured in a way that serves your needs.

Assuming Technical Knowledge

Don't assume the AI knows specialized terminology or concepts without explanation, especially for niche topics.

Real-World Applications of Prompt Engineering

Content Creation

Well-engineered prompts can generate blog posts, marketing copy, creative writing, and more that match specific brand voices and achieve particular objectives.

Visual Design

For image generation tools, prompt engineering is crucial for creating visuals with the right style, elements, composition, and mood.

Data Analysis

When working with AI tools that analyze data, effective prompts can help extract meaningful insights and generate useful visualizations.

Education

Educators can use prompt engineering to create personalized learning materials, quizzes, and explanations tailored to different learning styles and levels.

How Glance Uses Prompt Engineering to Enhance User Experiences?

At Glance, prompt engineering is at the heart of delivering personalized content experiences across devices. Our AI-powered platforms like Glance TV and Glance AI utilize sophisticated prompt engineering behind the scenes to create engaging, relevant content for users.

For instance, Glance AI's ability to generate personalized AI looks is powered by carefully engineered prompts that transform user inputs (like selfies and style preferences) into stunning visual content. Similarly, Glance TV uses smart prompt engineering to deliver dynamic content that responds to user interests during idle screen time.

For practical examples of effective prompts that can enhance your AI interactions, check out Glance's Best Prompts Resource where we share techniques our experts use to achieve optimal results.

Getting Started with Prompt Engineering

1. Start With a Template

Begin with basic prompt templates and customize them for your specific needs:

I need [content type] about [topic] for [audience] that is [length] and emphasizes [key points]. The tone should be [desired tone], and it should include [specific elements].

2. Experiment Systematically

Change one aspect of your prompt at a time to see how it affects the output. This methodical approach helps you understand which elements have the biggest impact.

3. Build a Prompt Library

Save successful prompts as templates for future use. Categorize them by purpose (writing, brainstorming, analysis) for easy reference.

4. Learn From the Community

Follow prompt engineering communities online where people share techniques and examples. Learning from others can significantly accelerate your progress.

5. Practice Regularly

Like any skill, prompt engineering improves with practice. Set aside time to experiment with different approaches and analyze the results.

The Future of Prompt Engineering

As AI tools continue to evolve, prompt engineering is likely to become both more sophisticated and more accessible:

More specialized prompt techniques for different types of AI models

Prompt libraries and marketplaces where effective prompts can be shared and purchased

Visual prompt builders that help construct effective prompts without technical knowledge

Meta-prompting where AI helps refine your prompts to get better results

Despite these advancements, understanding the fundamentals of how to communicate effectively with AI will remain an invaluable skill.

Conclusion

Prompt engineering is quickly becoming an essential literacy in our increasingly AI-powered world. By mastering the basics of writing better AI prompts, you can transform these powerful tools from interesting novelties into valuable allies that consistently deliver the results you need.

Remember that effective prompt engineering combines both art and science—there's room for creativity and experimentation alongside structured techniques and best practices. As you develop this skill, you'll not only get better results from AI tools but also gain deeper insights into how these systems interpret and process information.

Whether you're a professional looking to incorporate AI into your workflow, a creator seeking to expand your capabilities, or simply curious about getting the most from these new technologies, investing time in learning prompt engineering basics will pay dividends in the quality and usefulness of your AI interactions.

[digitalpra]

Unlocking Your Android TV's Potential: Tips Beginners Don't Know

If you’ve just brought home an Android TV, congratulations—you’re now sitting on a powerful entertainment hub. But here’s the thing: most users only scratch the surface of what Android TV can do.

Whether you’re a streaming junkie, a casual viewer, or a curious beginner, this guide will help you get the most out of your Android TV. Packed with smart, lesser-known tips, we’ll show you how to optimize your setup, personalize your experience, and tap into features you didn’t know existed.

Let’s dive in and turn your living room into a smart entertainment powerhouse.

Why Android TV Stands Out

Android TV is more than just a smart interface. Powered by Google, it gives you access to:

Google Play Store apps tailored for TV

Voice search with Google Assistant

Built-in Chromecast

Seamless integration with your phone and smart home devices

But how do you actually use all of this? Let’s start unlocking.

1. Use Voice Search Like a Pro

Most Android TV remotes come with a microphone button. Hold it down and say things like:

“Play action movies on Netflix”

“What’s the weather today?”

“Open YouTube”

It’s not just for show—voice search can speed up your browsing and even control your smart home devices if synced with Google Home.

2. Install Hidden Gem Apps

Everyone knows Netflix and YouTube. But the Google Play Store on Android TV hides some gems that elevate your experience:

Plex – Organize your personal media collection

Kodi – Open-source entertainment hub for power users

Steam Link – Stream PC games to your TV

Google Drive or File Commander – Access files directly on your TV

💡 Pro Tip: You can even sideload Android apps not available in the Play Store if you’re feeling adventurous (just be cautious about sources).

3. Customize Your Home Screen

Make your Android TV home screen yours:

Move your favorite apps to the front row

Disable rows you don’t use (like promoted content)

Enable “Watch Next” to queue your shows across platforms

A clean, personalized interface makes your experience much smoother.

4. Pair Your Phone as a Remote

Lost the remote? No problem. The Google TV app (available on Android and iOS) lets you use your phone as a full-function remote—including a keyboard for faster searches.

It’s also a great backup if your remote batteries die mid-movie.

5. Cast Content Directly from Your Phone

Thanks to built-in Chromecast, you can cast YouTube videos, photos, or even presentations from your phone or laptop to your Android TV.

No cables, no hassle—just tap the cast icon and enjoy the big screen.

6. Clear Cache to Speed Things Up

Is your Android TV lagging? Free up space and speed things up by clearing cache:

Settings > Apps > [Select App] > Clear Cache

Apps like streaming platforms can accumulate a lot of temporary data. A monthly cleanup keeps your system running smoothly.

7. Enable Developer Options (Advanced)

Want deeper control? Go to:

Settings > Device Preferences > About > Tap “Build” 7 times

This unlocks developer options, where you can tweak animations, monitor performance, and even install apps via USB. Ideal for tech enthusiasts.

8. Use Glance for Smart Content Recommendations

Did you know Glance is working on next-gen Android TV experiences?

From personalized recommendations on your lock screen to curated content for your smart TV, Glance helps you discover more with less scrolling. Whether you're into trending shows, quick news, or regional content, Glance is crafting a smarter way to watch.

👉 Learn more: Explore Glance’s Android TV features

9. Turn Your TV into a Smart Home Hub

With Google Assistant, your Android TV can control lights, thermostats, and even robot vacuums. Just say:

“Turn off the living room lights” “Set the AC to 24 degrees”

It’s not just a TV—it’s a part of your smart home.

10. Set Data Usage Limits

Streaming in HD can eat up a lot of data. Android TV lets you set data limits (especially useful for mobile hotspot users):

Settings > Network & Internet > Data Saver

You can also restrict background data for apps to save even more.

Final Thoughts: Make Your Android TV Work for You

Android TV is full of features waiting to be discovered. Whether you’re customizing your home screen, unlocking developer mode, or exploring new apps, each tip brings you closer to a better, smoother, and smarter TV experience.

And with platforms like Glance bringing intelligent content curation and visual discovery to Android TVs, your screen time can be more exciting and effortless than ever.

[digitalpra]

The Future of Content Creation in the Age of Generative AI

Explore the future of content creation with AI. Learn about generative AI writing tools, human-AI collaboration, challenges, and Glance's perspective.

Scroll through your news feed, browse online stores, or even interact with customer service – chances are, you're increasingly encountering content created or assisted by Artificial Intelligence. Generative AI, the technology that can produce human-quality text, images, code, and more from simple prompts, is no longer a futuristic concept. It's here, and it's fundamentally changing the way content is made and consumed, sparking both excitement and questions about the ai content creation future.

For creators, marketers, and businesses in India and globally, this shift presents incredible opportunities and new challenges. How will roles evolve? What skills will be most valuable? And how can we leverage these powerful new tools effectively? This article explores the evolving world of content creation in the age of AI, dives into the capabilities of generative AI writing tools, and considers how platforms like Glance are navigating this dynamic landscape.

What's Powering the Change? A Quick Look at Generative AI Tools

Generative AI models learn patterns from vast amounts of data to create entirely new outputs. Think of tools like ChatGPT, Google Gemini, Claude, or image generators like Midjourney and Stable Diffusion. These generative ai writing tools (and their visual counterparts) can:

Draft Content: Write blog posts, articles, emails, social media updates, and ad copy.

Brainstorm Ideas: Generate headlines, topic suggestions, and creative angles.

Summarize Information: Condense long documents or articles into key points.

Translate Languages: Break down communication barriers.

Generate Code: Assist developers in writing and debugging software.

Create Images & Designs: Produce unique visuals from text descriptions for marketing, presentations, or concept art.

The speed and scale at which these tools operate are unprecedented, allowing for content production at a volume previously unimaginable.

The Rise of the AI Co-Pilot: Augmenting Human Creativity

One of the biggest discussions surrounding the AI content creation future is whether AI will replace human creators. While certain tasks might become automated, the more likely scenario is a shift towards collaboration: AI as a powerful co-pilot, augmenting human skills rather than replacing them entirely.

Here's how creators are adapting:

From Writer to Editor/Prompter: Instead of starting with a blank page, creators might use AI to generate a first draft, then focus their efforts on refining, fact-checking, adding unique insights, and ensuring the tone and style are perfect. Crafting effective prompts to guide the AI becomes a crucial new skill.

Overcoming Creative Blocks: AI tools are excellent brainstorming partners, suggesting ideas or alternative phrasings when inspiration runs dry.

Boosting Efficiency: Repetitive content tasks, like writing multiple versions of ad copy or generating basic product descriptions, can be offloaded to AI, freeing up humans for more strategic and creative work.

Personalization at Scale: AI can help tailor content variations for different audience segments much faster than manual methods allow.

Democratizing Creation: Individuals who aren't professional writers or designers can use AI tools to bring their ideas to life more easily.

The focus shifts from pure generation to strategic direction, critical evaluation, and adding the irreplaceable human touch – empathy, nuanced understanding, and authentic voice.

Beyond Text: AI's Expanding Creative Palette

While generative ai writing tools often grab headlines, the revolution spans multiple formats. AI image generation is transforming marketing visuals and concept art. AI video tools are emerging that can create short clips or animations. AI audio tools can generate voiceovers or background music.

This multi-modal capability hints at a future where content is richer, more dynamic, and potentially generated in real-time based on user interaction or preference. Imagine personalized video summaries of news articles or interactive product demonstrations generated on the fly – possibilities that platforms delivering diverse content need to consider.

Navigating the New Terrain: Challenges and Considerations

Despite the excitement, the path forward requires careful navigation. Key challenges include:

Accuracy & Reliability: AI models can "hallucinate" – produce inaccurate or nonsensical information. Rigorous fact-checking and human oversight remain essential.

Originality & Copyright: The legal frameworks surrounding AI-generated content ownership and plagiarism are still evolving.

Authenticity & Bias: AI learns from existing data, which can contain biases. Ensuring outputs are fair, unbiased, and maintain a brand's unique voice requires careful management.

The "Human Element": AI struggles with genuine empathy, deep context, complex emotional nuance, and drawing from unique lived experiences – qualities that often make content truly compelling.

Successfully integrating AI means leveraging its strengths while mitigating its weaknesses through human expertise and ethical considerations.

AI Content Creation Future: What Lies Ahead?

The evolution is far from over. We can anticipate:

More Sophisticated & Integrated Tools: AI capabilities will become more powerful and seamlessly integrated into existing software (word processors, design suites, marketing platforms).

Hyper-Personalized Content Creation: AI enabling the generation of content tailored not just to segments, but potentially to individual users in real-time.

New Content Formats: Emergence of entirely new, AI-native forms of interactive and adaptive content.

Evolving Skillsets: Increased demand for prompt engineering, AI ethics expertise, data analysis, and creative strategy alongside traditional content skills.

Impact in India: For a rapidly digitizing country like India, these tools offer immense potential for businesses to scale content, for creators to reach wider audiences, and for consumers to experience more personalized digital interactions.

Glance: Embracing the Evolving Content Ecosystem

As a platform dedicated to delivering personalized content and experiences directly to your lock screen and potentially your Android TV, Glance is deeply engaged with the AI content creation future. The rise of Generative AI impacts the very nature, volume, and variety of content available in the digital ecosystem that Glance curates.

We see AI not just as a tool for our platform's personalization engine, but as a force reshaping the entire content landscape. Understanding how content is being created using tools like generative ai writing tools and visual generators is crucial for ensuring Glance continues to surface high-quality, relevant, and engaging information and entertainment for users across India. It's about leveraging AI responsibly – both in our curation and potentially in partnership with creators – to enhance discovery and bring value to your most accessible screen.

Glance is actively exploring these trends and their implications.  

Conclusion 

The future of content creation isn't about humans versus machines; it's about humans with machines. Generative AI offers incredibly powerful tools that can amplify creativity, boost productivity, and enable personalization on an unprecedented scale. However, the need for human insight, critical thinking, ethical judgment, and authentic voice remains paramount.

[digitalpra]

https://glance.com/blogs/glanceai/ai-trends/generative-ai-beyond-robots?utm_source=Glance&utm_medium=external&utm_campaign=Glance+India

Generative AI: It’s Not Just Robots – Here’s What It Really Is

When people think of AI, they often imagine humanoid robots with blinking lights and mechanical voices, reminiscent of science fiction movies like I, Robot, or Ex Machina. But Generative AI is much more than that. It powers creativity, personalization, and automation across various industries, extending beyond physical robots.

[digitalpra]

Beyond the Hype: Practical Steps for Businesses Using GenAI

Learn how to build a responsible AI strategy, pick the right tools, and drive real results  to implement generative AI for your business success

Generative AI (GenAI) is more than just a buzzword—it’s a transformative force that’s reshaping how businesses operate, innovate, and engage with customers. But with all the noise around AI, many business leaders are left wondering: How do you actually implement generative AI in a way that delivers real value?

In this article, we break down practical, actionable steps businesses can take to integrate GenAI strategy—without falling for the hype. Whether you're a startup or an enterprise, this guide will help you move from AI-curious to AI-capable.

What Is Generative AI—and Why Should Businesses Care?

Generative AI refers to artificial intelligence systems that can create content—text, images, code, music, and more—based on training data. Unlike traditional automation, GenAI doesn’t just follow instructions; it generates new, often innovative output.

Learn more: What is GenAI?

Why it matters for businesses:

From automating customer support to creating marketing content, Generative AI for business can cut costs, speed up workflows, and unlock creativity. But tapping into these benefits requires more than downloading an AI tool—it calls for a clear strategy.

A Guide to Use Generative AI for Business 

Step 1: Define the Problem You Want to Solve

The biggest mistake businesses make? Jumping into AI without a clear use case.

Ask yourself:

Where are your current bottlenecks?

Which teams are overwhelmed with repetitive tasks?

Are there areas where personalization or content generation could boost performance?

For example, if you’re an e-commerce company, you might use GenAI to generate product descriptions at scale, freeing up marketers for strategic work.

Step 2: Choose High-Impact Use Cases First

Start small, but think big. Focus on use cases where AI can make an immediate, measurable impact. Some proven examples:

Marketing: Ad copy, blogs, social captions, SEO content

Customer service: AI-powered chatbots, ticket summaries

Sales: Personalized outreach emails, lead scoring

Product: Prototyping features, UI design suggestions

HR: Resume screening, job description generation

Not sure where to begin? Try one pilot project in a low-risk area and measure its success.

Step 3: Build or Buy? Select the Right Tools

There are two main ways to implement generative AI for business:

Build custom models (if you have in-house data science teams and privacy concerns).

Use off-the-shelf platforms like OpenAI’s GPT, Google Gemini, or industry-specific tools.

You can also explore solutions from ecosystem partners like Glance that are bringing GenAI applications right on mobile, and smart TV platforms.

Tip: Prioritize tools that are:

Easy to integrate into your workflow

Transparent in how they handle data

Scalable as your needs grow

Step 4: Create a Responsible AI Strategy

With great power comes great responsibility. Any AI strategy rollout needs governance and ethics baked in from the start.

Key pillars of an AI strategy:

Transparency: Can users understand and trust AI-generated content?

Privacy: Are you safeguarding user and customer data?

Bias mitigation: Are your outputs fair and inclusive?

Educate your teams on responsible AI use and review your outputs regularly.

Step 5: Train Your Teams (Not Just the Tech)

AI isn’t plug-and-play. To succeed, your people need to evolve with the tech.

Offer training sessions on using AI tools

Encourage experimentation in a sandbox environment

Celebrate small wins and AI-powered improvements

Change management is just as important as tech adoption. If your teams don’t understand the benefit of Generative AI for business and AI strategy , they won’t use it effectively.

Step 6: Measure and Iterate

What gets measured gets improved. Define clear success metrics:

Time saved

Output volume

Engagement or conversion improvements

Cost reduction

Track these over time and iterate based on what works. The Generative AI for business is still evolving, and your implementation should be too.

Why Practicality Wins in the AI Race?

The companies seeing real ROI from generative AI aren’t chasing trends. They’re doing the quiet, consistent work of identifying real problems, testing solutions, and building responsible processes.

That’s where Glance comes in. As a platform that’s actively developing real-world GenAI applications—from AI-powered content discovery on lock screens to smart TV experiences—Glance helps users and businesses alike experience the benefits of GenAI without the buzzwords.

Final Thoughts

Implementing generative AI doesn’t have to be overwhelming. With the right mindset and strategy, any business—big or small—can move beyond the hype and start creating real value today.

So, where will you begin?

[digitalpra]

https://glance.com/blogs/glanceai/ai-trends/future-of-generative-ai-key-ai-trends-2030?utm_source=Glance&utm_medium=external&utm_campaign=Glance+India

AI Trends for 2030: The Future of Generative AI

Artificial Intelligence (AI) has evolved rapidly over the past decade, with generative AI leading the charge. Generative AI models use machine learning techniques like neural networks to create content, generate images, and develop human-like conversations. The most advanced models, such as OpenAI’s GPT and Google’s Gemini, utilize deep learning to analyze vast datasets and produce highly contextual responses.